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Channel
کایا آکادمی | KAYA Academy
@KayaaAcademy
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
11,306subscribers
+146 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001272610570 |
|---|---|
| Type | Channel |
| Username | @KayaaAcademy |
| Description | 📖 آموزش صفر تا صد فارکس 🎯 از مبتدی تا حرفهای 💰 مسیر رسیدن به درآمد دلاری 🚀 یاد بگیر، تمرین کن، تریدر شو 🔸️ربات سیگنال کایا : https://t.me/KayaForexbot |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 25 August 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 25 August 2026 |
| On Telegram | t.me/KayaaAcademy |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Aug 2026, 14:35 | 11,306 | +3 |
| 24 Aug 2026, 17:54 | 11,303 | +1 |
| 23 Aug 2026, 03:54 | 11,302 | +43 |
| 21 Aug 2026, 16:24 | 11,259 | +13 |
| 20 Aug 2026, 17:35 | 11,246 | +23 |
| 19 Aug 2026, 20:02 | 11,223 | +7 |
| 18 Aug 2026, 20:08 | 11,216 | -1 |
| 16 Aug 2026, 08:53 | 11,217 | +14 |
| 14 Aug 2026, 22:03 | 11,203 | +8 |
| 13 Aug 2026, 12:38 | 11,195 | +28 |
| 12 Aug 2026, 11:47 | 11,167 | -8 |
| 11 Aug 2026, 08:14 | 11,175 | -4 |
| 10 Aug 2026, 10:07 | 11,179 | +4 |
| 9 Aug 2026, 07:51 | 11,175 | +15 |
| 8 Aug 2026, 15:00 | 11,160 | first reading |
Engagement
21 posts held, back to 7 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 28 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 20.4%
- avg views ÷ 11,306 subscribers
- Avg views / post
- 2,310
- 10 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 10
- of 21 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 16 August 2026 |
|---|---|
| Posts held | 21 (7 July 2026 – 16 August 2026) |
| Views total | 23,116 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Aug 2026, 18:18 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Photos
- 125
- Videos
- 25
- Links
- 51
Lifetime counters from Telegram’s own channel header, read 25 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 42m 49s
- Average length
- 7m 08s
Measured directly from 6 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
21 reactions across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 21 | 100.0% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 1 of the 21 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 21reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 7 July 2026 to 16 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
📉🪙 پایان سری کامل «روانشناسی سرمایهگذاری در طلا» پشت هر حرکت بزرگ طلا، ردپایی از ترس، خاطره بحرانها، میل به حفظ ارزش و جابهجایی پول میان خریداران دیده میشود. در این سری بررسی کردیم که ذهن سرمایهگذار چگونه به طلا معنا میدهد، بحرانها چطور رفتار بازار را تغییر میدهند و چه زمانی قیمتهای رکوردی، خریداران واقعی را از هیجانزدگان جدا میکنند. 💎 بخش 1: چرا طلا در ذهن سرمایهگذار جایگاه متفاوتی دارد؟ 🔗 مشاهده 💎 بخ…
🪙 روانشناسی سرمایهگذاری در طلا | بخش سوم قیمت رکوردی طلا، خریدار واقعی را مشخص میکند وقتی طلا گران میشود، سؤال مهم فقط این نیست که «تقاضا کم شد یا زیاد؟» سؤال حرفهایتر این است: چه نوع تقاضایی در بازار باقی مانده است؟ طبق گزارش World Gold Council، در سهماهه اول 2026 با وجود قیمتهای رکوردی، خرید جواهرات افت کرد؛ اما تقاضا برای شمش، سکه، ETFهای طلا و خرید بانکهای مرکزی همچنان قوی ماند. این یعنی قیمت بالا همه خ…
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🔚🧠 پایان سری کامل «روانشناسی بالینی تریدرها» در این مجموعه بررسی کردیم که چگونه ذهن، هیجانها، طرحوارهها و ویژگیهای شخصیتی میتوانند پشت تصمیمهای معاملاتی پنهان شوند و عملکرد تریدر را بدون آنکه متوجه باشد، تحتتأثیر قرار دهند. 📹 قسمت 1️⃣ : متاشناخت تریدر؛ مرز میان تحلیل و احساس 🔗مشاهده 📹 قسمت 2️⃣ : اختلالهای پنهان در تصمیمهای معاملاتی 🔗مشاهده 📹 قسمت 3️⃣ : طرحوارهها؛ برنامههای پنهان ذهن تریدر 🔗مشاهده 📹 قس…
🟦 روانشناسی بالینی تریدرها | اپیزود ویژه 🔹موضوع این اپیزود: ارزیابی نقشه ذهنی تریدر حرفهای (تست روانشناسی پایان فصل) ارزیابی متاشناخت و خودآگاهی تکانشگری و رفتارهای واکنشی طرحوارههای فعال در تصمیمگیری تناسب شخصیت با سبک معاملهگری 🟦 با همراهی دکتر سارا نوریفر 🤩 نحوه امتیازدهی: برای هر سؤال از 0 تا 3 امتیاز در نظر بگیرید: 0 = تقریباً هرگز 1 = گاهی 2 = اغلب 3 = تقریباً همیشه #روانشناسی_بالینی_تریدرها ✔️https…
🟦 روانشناسی بالینی تریدرها | قسمت 4 🔹 موضوع این اپیزود: شخصیت معاملاتی؛ جایی که سبک ترید با ساختار ذهنی تلاقی میکند. تفاوت شخصیت و سبک معاملهگری تحمل ریسک و ابهام نشانههای عدم تطابق با استراتژی شناخت سبک مناسب برای عملکرد پایدار 🟦 با همراهی دکتر سارا نوری فر #روانشناسی_بالینی_تریدرها ✔️https://t.me/KayaForexbot
🟦 روانشناسی بالینی تریدرها | قسمت 3 🟦 موضوع این اپیزود: طرحوارهها؛ الگوهای پنهانی که تصمیمهای معاملاتی را هدایت میکنند. ترس از ضرر و شکست باورهای پنهان درباره موفقیت تکرار الگوهای اشتباه در ترید اثر تجربیات گذشته بر تصمیمات امروز 🟦 با همراهی دکتر سارا نوریفر #روانشناسی_بالینی_تریدرها ✔️https://t.me/KayaForexbot
🟦 روانشناسی بالینی تریدرها | قسمت 2 🟦 موضوع این اپیزود: اختلالهای پنهان در تصمیمهای معاملاتی اختلال ADHD و ورودهای تکانشی اضطراب عملکرد و تحلیل بیشازحد وسواس و کنترلگری در تصمیمها تکنیکهای علمی برای مدیریت رفتار هیجانی 🟦 به همراه دکتر سارا نوریفر #روانشناسی_بالینی_تریدرها ✔️https://t.me/KayaForexbot
🟦 روانشناسی بالینی تریدرها | قسمت 1 🟦 موضوع این اپیزود: متاشناخت؛ جایی که تریدر حرفهای بین تحلیل و احساس مرز میگذارد. ذهن فعال یا ذهن آلوده کنترل ورودهای احساسی بازگشت به پلن معاملاتی 🟦 با همراهی دکتر سارا نوریفر #روانشناسی_بالینی_تریدرها ✔️https://t.me/KayaForexbot
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🪙 روانشناسی سرمایهگذاری در طلا | بخش دوم چرا ذهن سرمایهگذار در بحران به سمت طلا میرود؟ در دورههای بیثباتی اقتصادی، تورم، تنشهای سیاسی یا افت اعتماد به ارزها، رفتار سرمایهگذاران فقط با تحلیل تکنیکال و فاندامنتال توضیح داده نمیشود؛ روانشناسی بازار هم نقش مهمی دارد. وقتی ریسکها زیاد میشوند، ذهن سرمایهگذار به سمت داراییهایی میرود که حس امنیت بیشتری ایجاد کنند. طلا دقیقاً به همین دلیل در زمان بحران دوباره مو…
Showing the 12 most recent of 21 posts we hold for @KayaaAcademy. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank
Citation-graph rank — 305,130 of 1,603,376entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 25 August 2026 — this entry's latest reading, not the date you are reading this.
“کایا آکادمی | KAYA Academy” (@KayaaAcademy), 11,306 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/KayaaAcademy.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.